Deep Neural Network Training with Frank-Wolfe. - Sebastian Pokutta; Christoph Spiegel 002; Max Zimmer (CoRR, 2020)

Compression-aware Training of Neural Networks using Frank-Wolfe. - Max Zimmer; Christoph Spiegel 002; Sebastian Pokutta (CoRR, 2022)

Merlin-Arthur Classifiers: Formal Interpretability with Interactive Black Boxes. - Stephan Wäldchen; Kartikey Sharma; Max Zimmer; Sebastian Pokutta (CoRR, 2022)

How I Learned to Stop Worrying and Love Retraining. - Max Zimmer; Christoph Spiegel 002; Sebastian Pokutta (ICLR, 2023)

How Do Different Types of Testing Goals Affect Test Case Design? - Dia Istanbuly; Max Zimmer; Gregory Gay 002 (ICTSS, 2023)

PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs. - Max Zimmer; Megi Andoni; Christoph Spiegel 002; Sebastian Pokutta (CoRR, 2023)

Interpretability Guarantees with Merlin-Arthur Classifiers. - Stephan Wäldchen; Kartikey Sharma; Berkant Turan; Max Zimmer; Sebastian Pokutta (AISTATS, 2024)

Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging. - Max Zimmer; Christoph Spiegel 002; Sebastian Pokutta (ICLR, 2024)

Estimating Canopy Height at Scale. - Jan Pauls; Max Zimmer; Una M. Kelly; Martin Schwartz; Sassan Saatchi; Philippe Ciais; Sebastian Pokutta; Martin Brandt; Fabian Gieseke (ICML, 2024)

Neural Parameter Regression for Explicit Representations of PDE Solution Operators. - Konrad Mundinger; Max Zimmer; Sebastian Pokutta (CoRR, 2024)

Interpretability Guarantees with Merlin-Arthur Classifiers. - Stephan Wäldchen; Kartikey Sharma; Berkant Turan; Max Zimmer; Sebastian Pokutta (Zenodo, 2024)

On the Byzantine-Resilience of Distillation-Based Federated Learning. - Christophe Roux; Max Zimmer; Sebastian Pokutta (ICLR, 2025)

Neural Discovery in Mathematics: Do Machines Dream of Colored Planes? - Konrad Mundinger; Max Zimmer; Aldo Kiem; Christoph Spiegel 002; Sebastian Pokutta (CoRR, 2025)

Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation. - Jan Pauls; Max Zimmer; Berkant Turan; Sassan Saatchi; Philippe Ciais; Sebastian Pokutta; Fabian Gieseke (CoRR, 2025)

Approximating Latent Manifolds in Neural Networks via Vanishing Ideals. - Nico Pelleriti; Max Zimmer; Elias Samuel Wirth; Sebastian Pokutta (CoRR, 2025)

DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications. - Ibrahim Fayad; Max Zimmer; Martin Schwartz; Philippe Ciais; Fabian Gieseke; Gabriel Belouze; Sarah Brood; Aurélien de Truchis; Alexandre d'Aspremont (CoRR, 2025)

RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization. - Alonso Urbano; David W. Romero; Max Zimmer; Sebastian Pokutta (CoRR, 2025)

Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms. - Hiroshi Kera; Nico Pelleriti; Yuki Ishihara; Max Zimmer; Sebastian Pokutta (CoRR, 2025)